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Search 5,032 sources
Sleep & insomnia
128
Clinical trials
64
Meta-analyses
41
Systematic reviews
28
Shared with team
19
Unsorted
12
SOURCES
Cognitive behavioral therapy for chronic insomnia: a meta-analysis
Annals of Internal Medicine
Digital CBT and long-term sleep outcomes in adults
JAMA Psychiatry
Comparative efficacy of behavioural sleep interventions
Sleep Medicine Reviews
Sleep quality after digitally delivered therapy: 12-month follow-up
The Lancet Digital Health
Abstract
Across 20 randomized trials, cognitive behavioural therapy reduced sleep onset latency by 19 minutes (Trauer et al., 2015), with gains maintained at 12-month follow-up in most cohorts (van Straten et al., 2018). Digitally delivered programmes produced outcomes comparable to in-person care (Soh et al., 2020), widening access without reducing effect size
Enter a research question in plain language...
Sentence-level citations
Peer-reviewed sources
No data used for training
AI Research Assistant runs a full-text search across millions of peer-reviewed papers, preprints, patents, and clinical trials using semantic search. It accepts natural-language queries and searches Semantic Scholar, PubMed, ArXiv, and Dimensions directly. CudekAI connects research questions to the broadest evidence base, finding relevant papers that keyword-only tools miss.
How effective is CBT for chronic insomnia?
Semantic Scholar
214M papers
PubMed
37M records
ArXiv
2.4M preprints
Dimensions
140M documents
SEMANTIC SEARCH
1,284 matches
CITED ANSWER
Sleep onset latency dropped by 19 minutes across pooled trials.
Effects were maintained at 12-month follow-up in most cohorts.
Digital delivery produced comparable outcomes to in-person care.
Claims backed by a citation
AI Research Assistant produces research-backed answers by attaching sentence-level citations to every claim, drawing on the full weight of evidence. It grounds every answer in claims backed by citations, giving researchers more confidence. CudekAI delivers evidence-based answers with fewer hallucinations than general-purpose AI tools, sourced from published research.
AI Research Assistant conducts systematic literature reviews at scale, automating abstract and full-text screening across hundreds of papers without manual triage. It follows PRISMA 2020 methodology, producing reproducible results from every screening decision. CudekAI delivers auditable literature reviews built for academic, clinical, and regulatory standards, keeping every screening decision traceable.
PRISMA 2020 SCREENING
Records identified
1284
Abstracts screened
742
Full texts assessed
168
Studies included
34
Every screening decision logged and reproducible.
STUDY
SAMPLE
DURATION
OUTCOME
Trauer 2015
n = 1,162
8 weeks
−19 min SOL
Espie 2019
n = 1,711
10 weeks
+1.4 SQ score
Soh 2020
n = 967
6 weeks
−3.2 ISI
Zachariae 2016
n = 1,460
9 weeks
−4.1 ISI
Original source text kept with every entry
4 papers compared
AI Research Assistant performs automated data extraction across multiple papers, pulling specific data points from each source into a structured literature table. It preserves the original text from the source alongside every extracted entry. CudekAI organizes findings into interactive tables, making it straightforward to compare multiple papers in one place.
AI Research Assistant generates a deep research report from any research question, using a multi-step research agent to synthesize published evidence automatically. It maps research consensus and research contradictions, building a structured research report. CudekAI's research agent compresses weeks into minutes through automated report generation, covering broad field overviews and focused research briefs.
RESEARCH AGENT
Decomposed the question into 6 sub-queries
Retrieved and ranked 412 candidate papers
Mapped consensus and contradictions across findings
Assembled a structured report with linked citations
27 studies
Consensus
6 studies
Contradictions
3 min
Report time
cognitive-behavioural-therapy-review.pdf
What sample size did the authors use, and how was it justified?
A total of 1,162 participants across 20 randomized trials. The authors justified it with a power analysis reported on page 4.
Highlighted in source · page 4, paragraph 2
AI Research Assistant enables interactive Q&A with papers inside any uploaded PDF, returning answers with answer highlighting in the source document. It extends support to scanned files through OCR and to non-English articles. CudekAI supports chat with PDF across every document type, helping researchers extract insights from documents directly.
Extract key insights through AI-powered summarization across any paper into a structured paper summary. Delivers consistent accuracy across content types for faster review.
Generates full academic documents from uploaded sources using reference-backed writing, automatic citations, and AI autocomplete. Produces complete, integrity-checked drafts for any academic assignment.
Classifies every citation as supporting, contrasting, or mentioning through built-in citation classification, mapping how each paper connects to the work citing it. Reveals supported and contradicted findings for stronger paper-level analysis.
Links every claim to its exact source sentence, enabling answer highlighting directly inside the PDF. Produces citable answers from the original text for one-click source verification.
Runs multi-article analysis across entire collections, answering questions across multiple articles to surface common themes, patterns, and contradictions simultaneously. Validates findings across the full library for deeper research confidence.
Extends multilingual support across research interactions, processing non-English articles and returning answers in the language the researcher selects. Broadens access to global literature for research beyond English-language sources.
Identifies research gaps and maps future research areas where evidence is thin, contested, or absent. Highlights where the literature diverges for a clearer path to original contribution.
Evaluates every source using SJR rankings, citation metrics, and AI classification before it enters a research workflow. Filters out low-quality evidence for more reliable, rigor-based research decisions.
Operates as a full reference manager supporting APA, MLA, and Chicago citation styles with imports via BibTeX, RIS, and DOI. Generates in-text citations automatically for Word and Google Docs.
Stores sources across personal collections and shared libraries with real-time collaboration and customizable permissions across any research team. Keeps every reference organized and accessible for current and future projects.
Monitors connected databases and delivers research alerts when relevant papers are published across any tracked topic. Recommends relevant articles automatically for uninterrupted awareness of new research.
Students, PhD researchers, and learners use CudekAI's AI Research Assistant to navigate academic literature, build citation-backed arguments, and produce research outputs instantly at every stage of studies.
Researchers and scientists use CudekAI to analyze literature at scale, identify gaps in existing evidence, and accelerate the path from research question to publishable finding.
Clinical investigators, medical writers, and health economists use CudekAI to conduct systematic reviews, extract structured clinical data, and support protocol development across every phase of clinical research.
Educators and faculty at universities and research institutions use CudekAI to stay current with published literature, build evidence-based course content, and support student research at scale.
Industry researchers, consultants, and policy researchers use AI Research Assistant to conduct structured analysis, benchmark findings against published evidence, and produce research briefs that meet the standards of both academia and industry.
AI Research Assistant accelerates drug discovery by enabling rapid literature analysis across clinical trial design, safety data, and regulatory submissions for pharmaceutical teams. It highlights the most relevant evidence at each stage, helping teams bring drugs to patients faster.
AI Research Assistant accelerates scientific research by connecting academics to the full breadth of published literature across every discipline and research stage. It supports the path from initial inquiry to patent, helping researchers push science forward.
AI Research Assistant equips policy teams with published evidence drawn from education policy, public health, and regulatory research to support informed decision-making. It structures findings into auditable outputs built for policy review and implementation.
AI Research Assistant gives medical device teams structured access to published safety data and regulatory literature across every stage of device development. It compresses evidence review timelines, supporting the rigorous standards of safe products for patient demand.
AI Research Assistant drives new materials discovery, user experience innovation, and algorithmic performance research across technology and industrial sectors. It connects research teams to published findings across disciplines, enabling product improvement grounded in the latest evidence.
Enter any research question in plain language, no keyword expertise needed. CudekAI's AI Research Assistant accepts natural-language queries, keyword searches, and question-based inputs to perform a structured database search.
AI Research Assistant runs real-time, AI-powered analysis across millions of papers for large-scale research coverage. It processes results automatically using advanced AI for research.
CudekAI's AI Research Assistant delivers instant, research-backed answers and comprehensive reports with citations linked to relevant papers. Verify findings and cite sources directly from the results.
CudekAI accelerates the pace of research, compressing literature analysis from weeks into minutes. It improves research efficiency by considering more evidence faster without cutting scope.
CudekAI delivers validated accuracy through rigorous testing, source quality, source ranking, and scientific rigor. It produces high-quality research outputs grounded in reliable evidence, making science more reliable at every step.
CudekAI protects every research session through data privacy, data security, and data confidentiality. It keeps personal data and uploaded content private with no data used for training.
CudekAI works inside Claude and ChatGPT by MCP integration and connects to Zotero, a research API, and an API for teams. It allows for the creation of custom tools and programmatic search without requiring changes to the workflow.
It surfaced relevant studies I had missed in my manual search and saved hours of screening time.
Amara
The citation links made it easy to verify every claim before including it in my report.
Jonas
Literature reviews that used to take days now take a fraction of the time.
Mei
I use it for every systematic review; the screening workflow is exactly what clinical research needs.
Rafael